Preprint
Aug 2026
MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees
This work presents an algorithm for training a neural network to classify text by selecting constituent excerpts by selecting such excerpts, and shows that the approach is also scalable with demonstrated learning against samples with nearly 1M tokens.
John J. Cadigan, Dayne Freitag, Eric Yeh
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